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Improving Information Retrieval Results for Persian Documents using FarsNet
November 01, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Adel Rahimi, Mohammad Bahrani
arXiv ID
1811.00854
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper, we propose a new method for query expansion, which uses FarsNet (Persian WordNet) to find similar tokens related to the query and expand the semantic meaning of the query. For this purpose, we use synonymy relations in FarsNet and extract the related synonyms to query words. This algorithm is used to enhance information retrieval systems and improve search results. The overall evaluation of this system in comparison to the baseline method (without using query expansion) shows an improvement of about 9 percent in Mean Average Precision (MAP).
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